Robert's theorem and graphs on complete lattices
Maximilien Gadouleau

TL;DR
This paper generalizes Robert's theorem and the feedback bound from automata networks with acyclic interaction graphs to self-mappings on complete lattices, providing new theoretical tools for analyzing network convergence.
Contribution
It introduces a lattice-based framework for automata networks, extending classical results to general complete lattices and defining new dependency notions.
Findings
Extended Robert's theorem to complete lattices.
Generalized feedback bound for fixed points.
Applied results to prove automata network convergence.
Abstract
Automata networks, and in particular Boolean networks, are used to model diverse networks of interacting entities. The interaction graph of an automata network is its most important parameter, as it represents the overall architecture of the network. A continuous amount of work has been devoted to infer dynamical properties of the automata network based on its interaction graph only. Robert's theorem is the seminal result in this area; it states that automata networks with an acyclic interaction graph converge to a unique fixed point. The feedback bound can be viewed as an extension of Robert's theorem; it gives an upper bound on the number of fixed points of an automata network based on the size of a minimum feedback vertex set of its interaction graph. Boolean networks can be viewed as self-mappings on the power set lattice of the set of entities. In this paper, we consider…
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Taxonomy
TopicsFormal Methods in Verification · Petri Nets in System Modeling · semigroups and automata theory
